文献类型：期刊文献

英文题名：A spatial source-oriented and probability-based risk-assessment framework for heavy metal and PAH contamination of urban soils in Guangzhou, China

作者：Chen, Lian[1];Xie, Minghe[2];Li, Gaocong[3];Lin, Sen[1];Wang, Dan[1];Li, Zhiyi[1];Wang, Yuan[1];Wang, Zhenjiang[1,4]

机构：[1]Guangdong Acad Agr Sci, Sericultural & Agrifood Res Inst, 133 Dongguan Zhuang Yiheng Rd, Guangzhou 510610, Guangdong, Peoples R China;[2]South China Agr Univ, Coll Engn, Guangzhou 510640, Guangdong, Peoples R China;[3]Guangdong Ocean Univ, Coll Elect Informat Engn, Zhanjiang 524088, Guangdong, Peoples R China;[4]Minist Agr & Rural Affairs, Key Lab Urban Agr South China, Guangzhou 510610, Guangdong, Peoples R China

年份：2025

卷号：482

外文期刊名：JOURNAL OF HAZARDOUS MATERIALS

收录：SCI-EXPANDED(收录号：WOS:001415263900001)、、EI(收录号：20244717409105)、Scopus(收录号：2-s2.0-85209652069)、WOS

基金：This research was supported by the National Natural Science Foun-dation of China (42007379) ; Guangzhou Comprehensive Experimental Station of National Sericulture Industry Technology System (CARS-18-SYZ12) ; Special fund for the introduction of scientific and technological talents of Guangdong Academy of Agricultural Sciences (R2021YJ-YB3007) ; Youth Mentoring Program of Guangdong Academy of Agri-cultural Sciences (R2020QD-044) .

语种：英文

外文关键词：Source-sink; Probability-based; Source-oriented; Health risk assessment; Co-contamination

外文摘要：The identification and quantification of high-risk hotspots for soils contaminated by heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) remains a challenge due to their various sources and heterogeneous sink properties in urban soil systems. In this study of 221 soil samples from Guangzhou, China, a novel framework combining Bivariate local Moran's I (BLMI), positive matrix factorization (PMF), human health risk (HHR) assessment, Monte Carlo simulation (MCS), and a newly developed spatial risk model were proposed to conduct probabilistic source-oriented HHR assessment, high-risk hotspot quantification, and risk formation mechanism elaboration. Study results indicate that traffic emissions are the largest contributor of HMs (47.6 %) and PAHs (40.2 %), but not always the largest contributor of HHR. Agricultural or urban green-space management activities of HM, and mixed source of PAH, are the largest contributors of non-carcinogenic risk (NCR, 48.7 % and 51.1 %, respectively), while mixed source of HM and traffic emissions of PAH are the largest contributors of carcinogenic risk (CR, 53.9 % and 71.2 %, respectively). The probability of risk exceeding safe threshold levels is<5.0 % for NCR and > 90.0 % for CR. High-risk hotspots were identified in the mid-west and south of the city, making up 15.0 % of the total Guangzhou area. Risk mechanisms were deduced from the spatial heterogeneity and inter-dependence of emission sources and soil sink, based on source-sink theory. Our findings provide a new framework for precisely identifying risk sources and target areas, thereby alleviating HHR associated with cooccurring HMs and PAHs in urban soil systems.